Open to opportunities

Ayaan Shaheer

@ayaanshaheer

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Passionate data enthusiast with hands-on experience in machine learning.

India

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What I'm looking for

I am looking for a role that challenges me and allows for growth in data science, where I can apply my skills in machine learning and contribute to impactful projects.

I am a data enthusiast with a strong foundation in machine learning and AI solutions, particularly in fraud detection and data analysis. My journey in data science has equipped me with hands-on experience in developing predictive models and optimizing processes through automation. I thrive on solving complex problems and enjoy the challenge of turning data into actionable insights.

Throughout my academic career, I have successfully completed various projects, including a customer churn prediction system and a real-time object detection tracker. My work has involved utilizing advanced machine learning techniques, such as classification and anomaly detection, to enhance security and improve prediction accuracy. I am proficient in Python, scikit-learn, and cloud technologies, which I leverage to build robust data-driven solutions.

As a Data Analyst Intern at NullClass, I conducted comprehensive data analytics on Google Play Store app data, providing valuable insights into app ratings and user sentiment. I am eager to continue my journey in the data field, contributing to innovative projects that harness the power of data to drive business success.

Experience

Work history, roles, and key accomplishments

AI/ML Solutions Developer

Self-Initiated Projects

Oct 2024 - Dec 2024 (2 months)

Developed and fine-tuned fraud detection models using Python and scikit-learn, significantly improving prediction accuracy. Conducted extensive data cleaning, feature engineering, and exploratory data analysis to identify key prediction factors and implemented GCN models for complex datasets.

Python scikit learn Fraud Detection Machine Learning Data Analysis AI

Data Analyst Intern

NullClass

Nov 2024 - Dec 2024 (1 month)

Developed a real-time analytics project using Python to analyze Google Play Store app data, providing actionable insights on user sentiment, ratings, and installs. Utilized pandas, matplotlib, seaborn, and Power BI for comprehensive data cleaning, visualization, and interactive dashboard creation, while managing code with GitHub.

Python Power BI Data Visualization Pandas SeaBorn Matplotlib Git Data Analytics

Data Analyst Intern

NullClass

Nov 2024 - Present (6 months)

Developed a real-time analytics project using Python to analyze Google Play Store app data, providing insights on user sentiment, ratings, and installs. Utilized pandas, matplotlib, seaborn, and Power BI for data cleaning, visualization, and interactive dashboard creation. Managed code and documentation using GitHub and produced a comprehensive final project report.

Python Power BI Data Visualization Git Pandas SeaBorn Matplotlib Data Cleaning Data Analysis Real Time Analytics Reporting

AI Project Experience

Self-Employed

Oct 2024 - Present (7 months)

Developed and fine-tuned fraud detection models using Python and scikit-learn, improving prediction accuracy by 15%. Implemented GCN model using PyTorch Geometric for node classification tasks in complex datasets. Conducted data cleaning, feature engineering, and outlier detection using advanced ML techniques such as Isolation Forest.

Python scikit learn Isolation Forest Data Cleaning Anomaly Detection Machine Learning AI

Education

Degrees, certifications, and relevant coursework

Jamia Hamdard

Bachelor's Of Computer Application, Computer Application

Grade: 8.15 CGPA

Currently pursuing a Bachelor's of Computer Application, focusing on core computer science principles. Coursework includes AI, Machine Learning, Python, Java, C++, DBMS, and Computer Networking.

PyNet Labs

CCNA Course Completion, Computer Networking

Completed a CCNA course at PyNet Labs, gaining expertise in computer networking principles and practices. This program enhanced my understanding of network infrastructure and protocols.

PyNet Labs

Certiﬁcate, Computer Networking

Completed the CCNA course at PyNet Labs, gaining expertise in computer networking principles and practices. This program enhanced my understanding of network conﬁguration and management.